Triple

T9516310
Position Surface form Disambiguated ID Type / Status
Subject Northwest Washington E229533 entity
Predicate hasPart P35 FINISHED
Object Island County E46925 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Island County | Statement: [Northwest Washington, hasPart, Island County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Island County
Context triple: [Northwest Washington, hasPart, Island County]
  • A. Island County chosen
    Island County is a county in Washington State composed mainly of Whidbey and Camano Islands, known for its coastal scenery and maritime communities in the Puget Sound.
  • B. Lewis County
    Lewis County is a county in southwestern Washington State known for its rural communities, forests, and position between the Cascade Range and the Pacific Coast.
  • C. Lewis County
    Lewis County is a rural county in north-central Idaho known for its agricultural communities, forested landscapes, and small-town character.
  • D. Lewis County
    Lewis County is a rural county in northern New York State known for its forests, outdoor recreation, and location within the Tug Hill Plateau region.
  • E. Esmeralda County
    Esmeralda County is a sparsely populated rural county in western Nevada known for its historic mining towns and vast desert landscapes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca84777560819084cddd999badc1aa completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd987eefec8190b0db1928776bf02b completed April 1, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a44c3c08190a09277737c7a98e0 completed April 4, 2026, 4:20 p.m.
Created at: March 30, 2026, 7:58 p.m.